Enhance player data display in app.py by introducing individual player tabs. Each tab presents player-specific statistics, including percentiles for various metrics, improving the user experience and allowing for a more detailed analysis of player performance. This update builds on previous enhancements to statistical projections and opponent performance metrics.

app.py

@@ -352,4 +352,14 @@ if st.button("Run"):
     with tab2:
         st.dataframe(opp_boost.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
 
-    st.dataframe(sim_df.style.format(precision=2), use_container_width=True)
+    unique_players = sim_df['Player'].unique()
+    player_tabs = st.tabs(unique_players)
+    
+    for player, tab in zip(unique_players, player_tabs):
+        with tab:
+            player_data = sim_df[sim_df['Player'] == player]
+            st.dataframe(
+                player_data[['Stat', '10%', '25%', '50%', '75%', '90%']]
+                .style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2),
+                use_container_width=True
+            )